Using all-payer claims data for health surveillance of people with intellectual and developmental disabilities.

Academic Article

Abstract

  • BACKGROUND: To address limitations and challenges associated with current health surveillance of people with intellectual and developmental disabilities (IDD), this study investigates the use of all-payer claims data to identify and characterise this population. METHOD: All-payer claims data from 2010 to 2014 were used to study people with IDD in New Hampshire. Starting with the Centers for Medicare and Medicaid Services' algorithm, IDD was defined using ICD-9 diagnosis codes. Additional ICD-9 codes for developmental disabilities were included to build the knowledge base begun by recent research conducted on Medicaid claimants in five other states. RESULTS: Findings showed the enhanced algorithm offers a replicable and feasible way to conduct health surveillance of people with IDD at the state level. CONCLUSION: Substantive and significant differences between Medicaid and commercial claimants suggest that using all-payer claims provides a richer and more complete method for health surveillance of people with IDD.

    • Authors

  • Phillips, KG
  • Houtenville, Andrew
  • Reichard, A

    • Status

    Publication Date

  • April 2019

    • Has Subject Area

    Published In

    Keywords

  • Administrative Claims, Healthcare
  • Adolescent
  • Adult
  • Algorithms
  • Child
  • Child, Preschool
  • Developmental Disabilities
  • Female
  • Humans
  • IDD
  • Infant
  • Insurance, Health
  • Intellectual Disability
  • Male
  • Medicaid
  • Medicare
  • Middle Aged
  • New Hampshire
  • United States
  • Young Adult
  • all-payer claims
  • health surveillance

    • Digital Object Identifier (doi)

    Pubmed Id

  • 30575171

    • Start Page

  • 327

    • End Page

  • 337

    • Volume

  • 63

    • Issue

  • 4